AI Engineer

Job Type: Contract

Job Duration: 6 months – 1 year
Location: Hyderabad, Chennai

Domain: Healthcare
Work Mode: Hybrid
Work Timings: 9:00 AM – 5:00 PM IST (General Shift)
Experience Required: 7 to 10 years of relevant experience
Notice Period: Immediate joiners

Interview Process

• L1 – Initial Screening
• L2 – AI-Based Assessment
• L3 – Technical Interview (Round 1)
• L4 – Technical Interview (Round 2)
• L5 – Final Round

About Karuyaki

Karuyaki is a catalyst for holistic business transformation. Since 2012, we’ve helped organizations turn ideas into impact and scale with purpose.

Our signature offering, Program Management & Completion (PMC) ensures every initiative is built to scale, delivered end-to-end, and aligned with real business goals.

We cut through complexity, accelerate outcomes, and deliver what matters.
We scale. We ensure. We complete.

About PMC (Program Management & Completion)

PMC provides a structured, end-to-end delivery framework that ensures every initiative remains aligned to business outcomes, execution discipline, and measurable impact. It goes beyond traditional project management by strengthening governance, cadence, clarity, and delivery readiness across the lifecycle.

About the Role

We are looking for a Mid-Level AI Engineer who can design, develop, and implement AI/ML models and contribute to Proof of Concept (POC) applications. The ideal candidate should have strong Python programming skills, hands-on experience with machine learning frameworks, and the ability to support end-to-end model development in a structured project environment.

This role requires collaboration across teams, disciplined documentation, and adherence for quality and delivery assurance.

Educational Qualification

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Key Responsibilities

AI/ML Development

• Design, develop, and implement AI/ML models and algorithms for real-world use cases.
• Build and enhance POC applications to validate the feasibility and value of proposed AI solutions.
• Utilize frameworks such as TensorFlow, PyTorch, and Scikit-learn for model development and deployment.
• Implement data preprocessing, feature engineering, and data validation using Pandas and NumPy.
• Troubleshoot, debug, and optimize AI/ML applications for performance and reliability.

Cloud & Platform Responsibilities

• Develop and deploy AI solutions on Google Cloud Platform (GCP).
• Use Vertex AI for model training, deployment, versioning, and monitoring.
• Integrate and leverage Google Gemini features for advanced AI functionalities.

Collaboration & Delivery

• Work closely with data engineers to ensure data quality and availability.
• Support senior engineers and architects in understanding business requirements and designing solutions.
• Collaborate with cross-functional teams in line with processes, documentation, and governance standards.
• Maintain clean, efficient, well-structured, and well-documented code.

Ideal Candidate Profile

• Demonstrates maturity in handling structured AI development processes.
• Comfortable working in hybrid environments with clear governance and accountability.
• Shows eagerness to learn, adapt, and contribute to POC and production-level AI workstreams.

Job Type: Contractual / Temporary
Contract length: 12 months

Pay: ₹150,000.00 - ₹165,000.00 per month

Experience:

• .Net: 6 years (Required)
• SQL and database design: 6 years (Required)

Work Location: In person